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cs.LG2026
FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching
Yuzhe Fu, Hancheng Ye, Cong Guo +7
Point-based Neural Networks (PNNs) have become a key approach for point cloud processing. However, a core operation in these models, Farthest Point Sampling (FPS), often introduces…
cs.LG2024
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
Arjun Sridhar, Chen-Chia Chang, Junyao Zhang +1
Routability optimization in modern EDA tools has benefited greatly from using machine learning (ML) models. Constructing and optimizing the performance of ML models continues to be…